42 citations · 62 across the 6 of their papers we have counts for
8 papers
Geometric Moment Alignment for Domain Adaptation via Siegel Embeddings
Shayan Gharib, Marcelo Hartmann, Arto Klami
We address the problem of distribution shift in unsupervised domain adaptation with a moment-matching approach. Existing methods typically align low-order statistical moments of th…
Representation Learning for Audio Privacy Preservation using Source Separation and Robust Adversarial Learning
Diep Luong, Minh Tran, Shayan Gharib +2
Privacy preservation has long been a concern in smart acoustic monitoring systems, where speech can be passively recorded along with a target signal in the system's operating envir…
Adversarial Representation Learning for Robust Privacy Preservation in Audio
Shayan Gharib, Minh Tran, Diep Luong +2
Sound event detection systems are widely used in various applications such as surveillance and environmental monitoring where data is automatically collected, processed, and sent t…
Sound Event Detection with Depthwise Separable and Dilated Convolutions
Konstantinos Drossos, Stylianos I. Mimilakis, Shayan Gharib +2
State-of-the-art sound event detection (SED) methods usually employ a series of convolutional neural networks (CNNs) to extract useful features from the input audio signal, and the…
VOICe: A Sound Event Detection Dataset For Generalizable Domain Adaptation
Shayan Gharib, Konstantinos Drossos, Eemi Fagerlund +1
The performance of sound event detection methods can significantly degrade when they are used in unseen conditions (e.g. recording devices, ambient noise). Domain adaptation is a p…
Language Modelling for Sound Event Detection with Teacher Forcing and Scheduled Sampling
Konstantinos Drossos, Shayan Gharib, Paul Magron +1
A sound event detection (SED) method typically takes as an input a sequence of audio frames and predicts the activities of sound events in each frame. In real-life recordings, the…